Matsa Ram

1.3k citations
8 papers · 41 · h-index 4

Impact in

Papers in

Journals
Scientific Reports (1 paper)Big Data Research (1 paper)2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (1 paper)2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (1 paper)2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (1 paper)
Partner nations
IndiaUnited States

In The Last Decade

Matsa Ram

6 papers receiving 36 citations

Peers

Matsa Ram
Comparison fields: 5 of 21
  • Computer Science Applications 7
  • Computer Vision and Pattern Recognition 17
  • Radiology, Nuclear Medicine and Imaging 12
  • Health Information Management 2
  • Artificial Intelligence 13
Replace Chicheng Zhang with:
Chicheng Zhang United States
Alexander Kalinovsky Belarus
Wangding Zeng China
P. Nagabhushan India
Huazuo Gao
S Aslani United States
Jiang Tian China
Lucy Chai United States
Mohammad Al Sa’d United Kingdom
Dongang Wang Australia
Matsa Ram relative to Chicheng Zhang United States Chicheng Zhang's profile →
Citations per field
00.5×1.5×1.8×
Chicheng Zhang · 1×
Citations per year

Countries citing papers authored by Matsa Ram

Since Specialization
Citations

This map shows the geographic impact of Matsa Ram's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matsa Ram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matsa Ram more than expected).

Fields of papers citing papers by Matsa Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matsa Ram. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matsa Ram. The network helps show where Matsa Ram may publish in the future.

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All Works

8 of 8 papers shown
#Work
1
A Novel Approach to Detect Face Mask to Control Covid Using Deep Learning
202018
2 20218
3 20204
4 20243
5 20253
6 20233
7 20222
8 20220

About Matsa Ram

Matsa Ram is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Health Information Management and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 41 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Video Surveillance and Tracking Methods (1 paper), Artificial Intelligence in Healthcare (1 paper), COVID-19 diagnosis using AI (1 paper), Energy Efficient Wireless Sensor Networks (1 paper), Face recognition and analysis (1 paper) and IoT-based Smart Home Systems (1 paper). The work is most often cited by research in Computer Science Applications (7 citations), Computer Vision and Pattern Recognition (17 citations), Radiology, Nuclear Medicine and Imaging (12 citations), Health Information Management (2 citations) and Artificial Intelligence (13 citations). Matsa Ram has collaborated with scholars based in India and United States. Their work appears in journals such as Scientific Reports, Big Data Research, 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) and 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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